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app.py

@@ -96,8 +96,8 @@ dense_embedding_output = literal_eval(
         api_name="/predict",
     )
 )[0]
-dense_embedding = np.array(dense_embedding_output, dtype=np.float64).tolist()
-
+dense_embedding = np.array(dense_embedding_output, dtype=np.float64)
+dense_embedding = dense_embedding.tolist()
 # dense_embedding = [float(x) for x in dense_embedding_output[0]]
 
 text_embedding_instructions_choice = [